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Drew Gallardo
65cd142c7e
This PR adds some support for `diff` / `merge` in the remote client as for local tables we stay `NotSupported` until https://github.com/lance-format/lance/issues/7263. This wires the two review-and-land calls against the remote REST API: - `POST /v1/table/{id}/branches/diff` - `POST /v1/table/{id}/branches/merge` Rust gets typed results (`BranchDiff`, `MergeBranchResult`). Python returns the wire JSON, same shape as the REST response. Merge here means promoting a branch's added columns onto `main`. ### Behavior - Remote only. Local raises `NotSupported`. - A rejected merge is not an exception. HTTP 409 still returns `Ok` / a dict with `status="rejected"` and blockers in `diff.mergeBlockers`. - Unknown blocker / status codes parse as `Unknown` so a newer server does not break older clients. - `MergePreview` tolerates missing fields for the same reason. - Merge requests are not retried. 409 is final and carries the body you need. ### Example ```python table = db.open_table("images") table.branches.create("exp") exp = table.branches.checkout("exp") exp.add_columns({"tag": "cast('draft' as string)"}) diff = table.branches.diff("exp") preview = table.branches.merge("exp", dry_run=True) result = table.branches.merge("exp", dry_run=False) if result["status"] == "merged": print("landed at", result["mainVersionAfter"]) elif result["status"] == "rejected": print(result["diff"]["mergeBlockers"]) ``` ### Testing cargo test -p lancedb --features remote diff_branch cargo test -p lancedb --features remote merge_branch --------- Co-authored-by: Cursor <cursoragent@cursor.com>
The Multimodal AI Lakehouse
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
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⭐ Click here ⭐ to see how fast we're growing!
Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
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We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
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